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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 2315
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    Explanations

    semantically relevant terms or concepts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to semantic and ontological concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sten
    -0.83
     commissions
    -0.74
    SHA
    -0.73
     ASIC
    -0.68
    raltar
    -0.67
     Coliseum
    -0.66
    nton
    -0.65
    shire
    -0.64
    Solar
    -0.64
     Scouting
    -0.64
    POSITIVE LOGITS
    antics
    0.96
     defe
    0.92
    olitics
    0.89
    */(
    0.84
    antic
    0.84
    orical
    0.80
    ophical
    0.79
    omorphic
    0.79
    omorph
    0.78
    ensional
    0.77
    Activations Density 0.037%

    No Known Activations